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Real Anaphora Resolution is Hard


Klenner, M; Fahrni, A; Sennrich, R (2010). Real Anaphora Resolution is Hard. Lecture Notes in Computer Science, 6231:109-116.

Abstract

We introduce a system for anaphora resolution for German that uses various resources in order to develop a real system as opposed to systems based on idealized assumptions, e.g. the use of true mentions only or perfect parse trees and perfect morphology. The components that we use to replace such idealizations comprise a full-fledged morphology, a Wikipedia-based named entity recognition, a rule-based dependency parser and a German wordnet. We show that under these conditions coreference resolution is (at least for German) still far from being perfect.

Abstract

We introduce a system for anaphora resolution for German that uses various resources in order to develop a real system as opposed to systems based on idealized assumptions, e.g. the use of true mentions only or perfect parse trees and perfect morphology. The components that we use to replace such idealizations comprise a full-fledged morphology, a Wikipedia-based named entity recognition, a rule-based dependency parser and a German wordnet. We show that under these conditions coreference resolution is (at least for German) still far from being perfect.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Computational Linguistics
Dewey Decimal Classification:000 Computer science, knowledge & systems
410 Linguistics
Language:English
Date:10 September 2010
Deposited On:24 Jan 2011 13:14
Last Modified:05 Apr 2016 14:26
Publisher:Springer
ISSN:0302-9743
Additional Information:The original publication is available at www.springerlink.com
Publisher DOI:https://doi.org/10.1007/978-3-642-15760-8_15

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